AI Intelligence for Business

Where Artificial Intelligence meets business reality

Practical insight on AI strategy, governance, and engineering for business leaders and practitioners. Written by a practitioner, for practitioners. No hype, no jargon for its own sake.

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Editorial Mission

"To demystify the advancement of AI and help business leaders make confident, informed decisions in a fast-moving field."


Published Articles

Latest from the blog

4 articles
From Words to Worlds Featured
Agentic AI Engineering Deep Dive

From Words to Worlds: The Rise of Agentic AI

How the craft of working with AI evolved from prompt engineering in 2022 through context engineering in 2024, and into harness engineering in 2026. Told through a single real-world scenario: researching land investment across New York, California, and Texas.

Satish and Claude May 31, 2026 5 pages
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RAG Architecture Engineering

RAG Types: What to Use and When

A comprehensive guide to retrieval-augmented generation approaches—from simple embedding-based retrieval to sophisticated multi-hop reasoning. Learn which RAG pattern fits your use case and when to apply each strategy.

Satish and Claude June 5, 2026
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LLM Evaluation Testing Engineering

Putting Gemma 4 to the Test

An in-depth evaluation of Gemma 4's capabilities across real-world use cases. Discover how this model performs on reasoning, coding, and enterprise AI tasks compared to other frontier models.

Satish April 2026
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LLM Evaluation Testing Claude

Putting Claude Fable 5 to the Test

Six real-world tests against Claude Fable 5: grocery flyer extraction, audio transcription and translation, comedy photo writing, code-to-image generation, recipe creation, and live shopping research. How does Anthropic's newest frontier model hold up?

Satish June 14, 2026
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The Author

Satish

Satish

AI Architecture Leader, Los Angeles, CA

AI Architecture leader in the Los Angeles, CA area and holder of the AIGP (Artificial Intelligence Governance Professional) certification. This blog is a practitioner's journal at the intersection of AI engineering, governance, and business strategy. Every article is written from the field, not the sidelines. Topics span agentic AI architecture, enterprise risk frameworks, multi-agent systems, responsible AI deployment, and the business implications of frontier model development.

GitHub: github.com/satsanthony

AI Governance Agentic AI Enterprise Architecture AIGP Certified LLM Evaluation Red Teaming